Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6194
Capacity of Large Scale Wireless Networks Under Gaussian Channel Model
Authors  Li, Shi
Liu, Yunhao Li, XiangYang 


Issue Date  2008  
Source  MOBICOM'08: PROCEEDINGS OF THE FOURTEENTH ACM INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING , v. 2008, Sep, p.140151  
Summary  In this paper, we study the multicast capacity of a large scale random wireless network. We simply consider the extended multihop network, where a number of wireless nodes v(i)(l <= i <= n) are randomly located in a square region with sidelength a = root n, by use of Poisson distribution with density 1. All nodes transmit at constant power P, and the power decays along path, with attenuation exponent alpha > 2. The data rate of a transmission is determined by the SINR as B log(1 + SINR). There are n, randomly and independently chosen multicast sessions. Each multicast has k randomly chosen terminals. We show that, when k <= 01 n and n(s) >= theta(2)n(1/2+beta), the capacity that each multicast session can achieve, with high probability, is at least C(8) root n/n(8)root k, where theta(1), theta(2), and c(8) are some special constants and beta > 0 is any positive real number Our result generalizes the unicast capacity [3] for random networks using percolation theory.  
Subjects  
ISBN  9781605583426  
Rights  © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 14th ACM International Symposium on Mobile Ad Hoc Networking & Computing, 1419 September 2008, San Francisco, California, USA  
Language  English 

Format  Article  
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